Evidence map›Paper›PMID 26740496›Full record

ArticleBMJ quality & safety2016

The Healthcare Complaints Analysis Tool: development and reliability testing of a method for service monitoring and organisational learning.

Alex Gillespie, Tom W Reader

Abstract read
In one paragraph

Article in BMJ quality & safety, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Characterising patient complaints in out-of-hours general practice: a retrospective cohort study in Ireland.The British journal of general practice : the journal of the Royal College of General Practitioners · 2018
    Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Compensation claims for chiropractic in Denmark 2013-2022.Chiropractic & manual therapies · 2026
    Article
  9. Article
  10. Article
  11. Review
  12. Pattern of unreported negative birth experiences in the maternity ward.Acta obstetricia et gynecologica Scandinavica · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Customer Healthcare Complaints in Brazil Are Seldom about Medical Errors.International journal of environmental research and public health · 2024
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Alex GillespieDepartment of Social Psychology, London School of Economics, London, UK.
Tom W ReaderDepartment of Social Psychology, London School of Economics, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLetters of complaint written by patients and their advocates reporting poor healthcare experiences represent an under-used data source. The lack of a method for extracting reliable data from these heterogeneous letters hinders their use for monitoring and learning. To address this gap, we report on the development and reliability testing of the Healthcare Complaints Analysis Tool (HCAT).

methodsHCAT was developed from a taxonomy of healthcare complaints reported in a previously published systematic review. It introduces the novel idea that complaints should be analysed in terms of severity. Recruiting three groups of educated lay participants (n=58, n=58, n=55), we refined the taxonomy through three iterations of discriminant content validity testing. We then supplemented this refined taxonomy with explicit coding procedures for seven problem categories (each with four levels of severity), stage of care and harm. These combined elements were further refined through iterative coding of a UK national sample of healthcare complaints (n= 25, n=80, n=137, n=839). To assess reliability and accuracy for the resultant tool, 14 educated lay participants coded a referent sample of 125 healthcare complaints.

resultsThe seven HCAT problem categories (quality, safety, environment, institutional processes, listening, communication, and respect and patient rights) were found to be conceptually distinct. On average, raters identified 1.94 problems (SD=0.26) per complaint letter. Coders exhibited substantial reliability in identifying problems at four levels of severity; moderate and substantial reliability in identifying stages of care (except for 'discharge/transfer' that was only fairly reliable) and substantial reliability in identifying overall harm.

conclusionsHCAT is not only the first reliable tool for coding complaints, it is the first tool to measure the severity of complaints. It facilitates service monitoring and organisational learning and it enables future research examining whether healthcare complaints are a leading indicator of poor service outcomes. HCAT is freely available to download and use.

Indexed as

Patient SatisfactionCommunicationEnvironmentGuidelines as TopicHumansPatient RightsPatient SafetyProcess Assessment, Health CareQuality of Health CareReproducibility of ResultsSurveys and QuestionnairesCommunicationOrdinary knowledgePatient-centred carePatient safetyQuality measurement

Identifiers

PMID26740496
PMCPMC5256238

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.